KR20210070059A - Motion communication system and method using piezoelectric sensor - Google Patents

Abstract

The present invention relates to a system and method for motion communication using piezoelectric sensors. According to an embodiment of the present invention, the system includes: piezoelectric sensors attached to a user's fingers to generate electric signal values according to the motion of the user's fingers; a memory for storing at least one instruction; and at least one processor for executing the at least one instruction stored in the memory, wherein the processor may execute the at least one instruction to compare a measurement value for each of the piezoelectric sensors with a reference value, binarize the measurement values on the basis of the result of the comparison, and estimate linguistic elements matching a combination of the binarized measurement values. Accordingly, it is possible to improve a signal recognition rate and accuracy according to user's body movement.

Description

Motion communication system and method using piezoelectric sensor {MOTION COMMUNICATION SYSTEM AND METHOD USING PIEZOELECTRIC SENSOR}

The present invention relates to a motion communication system and method using a piezoelectric sensor, and more particularly, based on an electrical signal value generated by a piezoelectric sensor manufactured through a shape-adaptive flexible material according to the size of a finger's bending. The present invention relates to a system and method for enabling communication between users by estimating a language corresponding thereto.

Recently, various technologies have been developed to enable communication between people by using body movements such as fingers and hands. A typical example is a system that recognizes sign language through finger motion detection using a sensor mounted on a glove or finger motion detection using a camera, and expresses it in text form and provides it. If such a system is used, even if the understanding of the sign language system is insufficient, the intention to be conveyed is expressed in text, so that smooth communication between users of the system can be achieved.

However, in the case of a method of detecting the movement of a finger using a camera, there is a problem in that accurate detection is difficult due to interference factors that may affect the image of the hand, such as a photographing range, angle, and light reflection of the camera. In other words, in that the arrangement and type of the camera must be considered in order to minimize the obstacles affecting the sensing of the movement of the finger, the user's convenience is lowered and the use is inevitably limited.

On the other hand, in the case of a method that directly detects the movement of a finger using a sensor, the influence of the surrounding environment is less than that of the detection method using a camera because the change according to the movement of the finger is directly detected through a glove mounted on the hand. Less and more accurate recognition is possible.

However, sensors developed in the prior art do not respond flexibly according to bending or unfolding motions of the fingers, so they are damaged or deformed, so that they cannot be used for a long time and the recognition rate is lowered. In addition, since the conventional system is disposed on the finger without considering the user's body structure at all, there is a problem that characters different from the user's intention are frequently expressed. In addition, the conventional system has a disadvantage in that it is not useful in various language systems due to the complexity of the overall process of finger motion recognition and language estimation.

Republic of Korea Patent Publication No. 10-2012-0035712 (2012.04.16)

The present invention is to solve the above problems, and by using a piezoelectric sensor made of a bio-friendly and flexible material that does not contain lead, it is possible to improve the signal recognition rate and accuracy according to the user's body movement compared to the prior art. An object of the present invention is to provide a motion communication system and method that can

Another object of the present invention is to provide a motion communication system and method capable of constructing a highly useful sign language system through language matching using signal detection and binarization optimized for the user's body structure.

A motion communication system using a piezoelectric sensor according to an embodiment of the present invention includes a piezoelectric sensor attached to a user's finger and generating an electrical signal value according to the movement of the user's finger, a memory for storing at least one instruction, and Comprising at least one processor for executing at least one instruction stored in the memory, the processor executes the at least one instruction, thereby comparing the measured value for each piezoelectric sensor with the reference value, and binarizing the measured value based on the result of the comparison, , it is possible to estimate the language element matching the combination of the binarized measurement values.

The piezoelectric sensor according to an embodiment of the present invention may include a plurality of electrodes and nanofibers disposed between the electrodes.

Nanofibers according to an embodiment of the present invention are fibers annealed at a predetermined temperature, and may have a thickness of 80 μm.

The processor according to an embodiment of the present invention may determine a reference value for each of the piezoelectric sensors attached to the user's finger through analysis of the measured values for each piezoelectric sensor by executing at least one instruction, and store the reference value in the memory.

According to an embodiment of the present invention, the language element may include an alphabet or a predetermined word.

The processor according to an embodiment of the present invention executes at least one instruction, so that when the language element is an alphabet, a combination derived based on the measurement values of the piezoelectric sensors attached to the thumb, index finger, and middle finger among the fingers of the user's both hands The alphabet can be estimated according to

In a motion communication method using a piezoelectric sensor according to an embodiment of the present invention, the piezoelectric sensor attached to the user's finger generates an electric signal value according to the movement of the finger, and the processor compares the measured value for each piezoelectric sensor with a reference value The method may include: performing, by the processor, binarizing the measured value based on the result of the comparison, and estimating, by the processor, a language element matching the combination of the binarized measured value.

The motion communication method according to an embodiment of the present invention may further include the step of determining, by the processor, a reference value for each piezoelectric sensor attached to the user's finger through analysis of the measurement value for each piezoelectric sensor, and storing the reference value in a memory. can

In the step of estimating the language element according to an embodiment of the present invention, when the language element is an alphabet, the processor is a combination derived based on the measurement values of the piezoelectric sensors attached to the thumb, index finger, and middle finger among the fingers of the user's both hands The alphabet can be estimated according to

Meanwhile, according to an embodiment of the present invention, it is possible to provide a computer-readable recording medium in which a program for executing the above-described method is recorded in a computer.

Using the motion communication system and method provided as an embodiment of the present invention, it is possible to improve the signal recognition rate and accuracy of the sensor by using a piezoelectric sensor that does not contain lead and is made of a bio-friendly and flexible material. , it is possible to significantly improve the reliability and accuracy of motion recognition and signal detection for communication between users compared to the prior art.

In addition, by binarizing the movement of a finger and providing a language matching the binarized movement, it has an advantage that it can be easily utilized in various sign language systems according to the user's needs or circumstances.

1 is a block diagram of a motion communication system using a piezoelectric sensor according to an embodiment of the present invention.
2 is a schematic cross-sectional view of a piezoelectric sensor attached to a user's finger according to an embodiment of the present invention.
3 is a graph showing the output change of the piezoelectric sensor based on the change in the annealing temperature of the nanofiber according to an embodiment of the present invention.
4 is a graph showing the output change of the piezoelectric sensor based on the change in the thickness of the nanofiber according to an embodiment of the present invention.
5 is a diagram illustrating a change in the central axis of a piezoelectric sensor according to a change in the thickness of a nanofiber according to an embodiment of the present invention.
6 is a graph showing the durability and stability test results of the piezoelectric sensor according to an embodiment of the present invention.
7 is a block diagram of a processor according to an embodiment of the present invention.
8 is a table summarizing 31 characters represented by a combination of (a) a photo of a finger to which a piezoelectric sensor is attached and (b) a movement of 31 fingers according to an embodiment of the present invention.
9 is an operation photograph of a system in which the text "THANK YOU!" is output, (b) a measurement value of the piezoelectric sensor for outputting the text "THANK YOU!" it is one ticket
10 is a flowchart illustrating a process of estimating a language element of a processor according to an embodiment of the present invention.
11 is a flowchart of a motion communication method using a piezoelectric sensor according to an embodiment of the present invention.

Terms used in this specification will be briefly described, and the present invention will be described in detail.

The terms used in the present invention have been selected as currently widely used general terms as possible while considering the functions in the present invention, but these may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technology, and the like. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than the name of a simple term.

In the entire specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated. In addition, terms such as "...unit" and "module" described in the specification mean a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software. . Also, throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being connected "with another configuration in between".

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily carry out the present invention. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of a motion communication system using a piezoelectric sensor 100 according to an embodiment of the present invention.

Referring to FIG. 1 , the motion communication system according to an embodiment of the present invention includes a piezoelectric sensor 100 that is attached to a user's finger and generates an electrical signal value according to the movement of the user's finger, at least one instruction. a memory 200 for storing and at least one processor 300 executing at least one instruction stored in the memory 200, wherein the processor 300 executes the at least one instruction, whereby the piezoelectric sensor 100 A star measurement value and a reference value are compared, the measurement value is binarized based on the result of the comparison, and a language element matching the combination of the binarized measurement value can be estimated.

The piezoelectric sensor 100 is a configuration for converting a mechanical force generated by a movement of a finger, such as bending or spreading of the finger, into an electrical signal, and may be attached to each joint of the left and right hands. Individual movements of each finger may be distinguished through a unique identification number such as a number assigned to each piezoelectric sensor 100 . For example, assuming that piezoelectric sensors 1 to 5 are attached to each of the thumb, index, middle, ring, and small fingers of the left hand, which one of the five fingers of the left hand is based on the electrical signal value measured by each of the piezoelectric sensors 1 to 5? It can be distinguished whether a movement such as bending or unfolding has occurred in the finger.

The memory 200 and the processor 300 may be configured to interwork with each other in one computing device. In this case, the computing device may transmit/receive data to and from the piezoelectric sensor 100 through wired/wireless network communication. That is, when the piezoelectric sensor 100 generates an electrical signal value according to the movement of a finger, the generated electrical signal value is transmitted to the processor 300 through wired/wireless network communication, and the processor 300 is stored in the memory 200 . By executing the instruction, it is possible to estimate the language element suitable for the movement of the finger. In addition, the processor 300 may execute an instruction stored in the memory 200 to output a language element matching the movement of a finger through a display of a computing device or a display of a wearable device interworking with the computing device.

2 is a schematic cross-sectional view of a piezoelectric sensor 100 attached to a user's finger according to an embodiment of the present invention.

Referring to FIG. 2 , the piezoelectric sensor 100 according to an embodiment of the present invention may include a plurality of electrodes 110 and nanofibers 120 disposed between the electrodes 110 . Nanofibers 120 are fibers with diameters in the nanometer range, which can be produced from different polymers, and have a large surface area to volume ratio, high porosity, significant mechanical strength and flexibility compared to microfibers. That is, when manufacturing the piezoelectric sensor 100 through the electrodes 110 and the nanofiber 120 disposed therebetween as shown in FIG. 2 , it is biocompatible because it does not contain lead, and has the advantage of being flexible and light compared to the prior art. and can improve the user's wearing comfort.

In addition, referring to FIG. 2 , the piezoelectric sensor 100 may include an adhesive layer 130 between the electrodes 110 and the nanofiber 120 . The adhesive layer 130 may be disposed to surround the electrodes 110 and the nanofiber 120 to protect the electrodes 110 and the nanofiber 120 , and may provide adhesion to the piezoelectric sensor 100 . For example, the adhesive layer 130 may be a heat-resistant polyimide tape or the like.

3 is a graph showing the output change of the piezoelectric sensor based on the change in the annealing temperature of the nanofiber according to an embodiment of the present invention.

By controlling the annealing temperature of the nanofibers based on a specific solvent, the surface morphology of the nanofibers can be changed. For example, as the annealing temperature of the nanofiber increases, the kinetic energy of the polymer chain constituting the nanofiber increases and the surface shape changes. The change in the surface shape of these nanofibers changes the properties of the nanofiber itself, and the change in properties affects the performance of the piezoelectric sensor. Therefore, in order to improve the output accuracy of the piezoelectric sensor according to the movement of the finger, it is necessary to optimize the performance of the piezoelectric sensor by adjusting the annealing temperature of the nanofiber. In other words, in order to improve the performance of the piezoelectric sensor, it is necessary to find an appropriate annealing temperature that can maximize the kinetic energy without changing the surface shape of the nanofiber.

Referring to FIG. 3 , it can be seen that the measured value of the piezoelectric sensor gradually increases as the annealing temperature increases based on a specific solvent, but the measured value of the piezoelectric sensor shows a decreasing trend starting at 95°C. That is, as described above, the surface shape of the nanofibers changes as the annealing temperature increases and the performance of the piezoelectric sensor is deteriorated. It can be seen with reference to FIG. 3 that the reference point of this change is 95°C.

The change in the power value according to the annealing temperature for each solvent has the same tendency as in FIG. 3 , but the maximum power value (i.e. the temperature as the reference point of the change) may vary depending on the type of the solvent used for the annealing. Therefore, the nanofiber 120 according to an embodiment of the present invention may be manufactured by annealing at a temperature that outputs the maximum power value determined for each solvent.

Figure 4 is a graph showing the output change of the piezoelectric sensor based on the change in the thickness of the nanofiber according to an embodiment of the present invention, Figure 5 is the central axis of the piezoelectric sensor according to the change in the thickness of the nanofiber according to the embodiment of the present invention It is a picture that symbolizes change.

Not only the annealing temperature of the nanofiber, but also the thickness of the nanofiber affects the performance of the piezoelectric sensor. When the thickness of the nanofiber increases, the active material increases, so that the output value of the piezoelectric sensor generally increases. However, when the thickness of the nanofiber is thicker than a certain level, the neutral axis of the piezoelectric sensor is located inside the nanofiber, so the piezoelectric sensor cannot fully receive the strain caused by the bending motion of the finger. occurs It is analyzed that this is because the upper and lower pressures are canceled based on the neutral axis of the piezoelectric sensor. Therefore, in order to optimize the performance of the piezoelectric sensor, it is necessary to select an appropriate thickness of the nanofiber.

Referring to FIG. 4 , as the thickness of the nanofiber increases, the measured value and the output value of the piezoelectric sensor gradually increase, but it can be seen that the measured value and the output value of the piezoelectric sensor decrease from 80 μm as a starting point. 5, when the upper adhesive layer is 150 μm, the lower adhesive layer is 75 μm, polyethylene naphthalate (PEN) disposed under the lower adhesive layer is 125 μm, and the electrodes are 15 μm, the thickness of the nanofiber is 80 μm When this occurs, it can be confirmed that the neutral axis of the piezoelectric sensor is located inside the nanofiber. That is, as described above, the performance of the piezoelectric sensor deteriorates beyond the thickness at which the neutral axis of the piezoelectric sensor is positioned inside the nanofiber, and it can be seen with reference to FIGS. 4 and 5 that the reference point of this change is 80 μm. Accordingly, the piezoelectric sensor 100 according to an embodiment of the present invention may be made of nanofibers 120 having a thickness of 80 μm.

6 is a graph showing the durability and stability test results of the piezoelectric sensor 100 according to an embodiment of the present invention.

Since the conventional piezoelectric sensor is deformed, such as bent or damaged by the force acting according to the bending and unfolding motions of the fingers, there is a limit in that it cannot show proper performance as time goes by. On the other hand, referring to FIG. 6 , the piezoelectric sensor 100 using the nanofiber 120 manufactured at the annealing temperature and thickness described above is operated at a frequency of 0.67 Hz or less for 5000 cycles or more, but the output width of the piezoelectric sensor 100 is It can be seen that this hardly changes. That is, it can be seen that the piezoelectric sensor 100 according to an embodiment of the present invention is stable and has strong durability compared to the conventional piezoelectric sensor because deformation and performance degradation due to use hardly occur.

7 is a block diagram of a processor 300 according to an embodiment of the present invention.

Referring to FIG. 7 , the processor 300 according to an embodiment of the present invention receives an electrical signal value measured by the piezoelectric sensor 100, and obtains data for converting an analog electrical signal value into a digital value. Based on the result of optimizing the reference value based on the digital value converted through the unit 310, the data acquisition unit 310, and the data analysis unit 320 comparing the digital value and the reference value, the digital value and the reference value It may include a data binarization unit 330 for binarizing a digital value, and a language component estimating unit 340 for determining a language component matching a combination of the binarization result value.

The data acquisition unit 310 according to an embodiment of the present invention may obtain the respective electrical signal values of the piezoelectric sensors 100 attached to the knuckles according to the identification information of the piezoelectric sensors 100 . In this case, the data acquisition unit 310 may convert the electrical signal value acquired as an analog value into a digital value. For this operation, the data acquisition unit 310 separates the respective electrical signal values of the piezoelectric sensor 100, and a multiplexer and an analog/digital converter for selectively outputting one of them, etc. may include.

The data analysis unit 320 according to an embodiment of the present invention may individually determine a reference value for determining whether a finger is bent or extended for each piezoelectric sensor 100 . Since the strength of bending or unfolding of a finger is different for each user and the strength of bending or unfolding of a finger is different for each user, errors and errors may occur if the same reference value is set for each piezoelectric sensor 100 collectively without considering the user and the finger. can't help but Therefore, in order to set a reference value suitable for each user's movement, the data analysis unit 320 sets the reference value for each of the piezoelectric sensors 100 attached to the user's finger through the cumulative analysis of the measured values for each piezoelectric sensor 100 . It may be determined and stored in the memory 200 . The reference value refers to a value set for determining either bending or spreading of the finger.

When the reference value setting for each piezoelectric sensor 100 is completed, the data analysis unit 320 may determine whether the measured value (i.e. digital value) of the piezoelectric sensor 100 is equal to or greater than the reference value. If it is determined that the reference value for any one of the piezoelectric sensors 100 distinguished according to the identification information is not optimized, the data analysis unit 320 is a measurement value for optimizing the reference value for the corresponding piezoelectric sensor 100 . may be performed, and comparison with a reference value may be separately performed for the remaining piezoelectric sensors 100 .

The data binarization unit 330 according to an embodiment of the present invention may binarize the measured value of the piezoelectric sensor 100 into a value of 1 or 0 based on the comparison determination result of the data analysis unit 320 . For example, when it is determined that the measured value of the piezoelectric sensor 100 is equal to or greater than the reference value, the data binarization unit 330 may convert the measured value of the piezoelectric sensor 100 into 1 and store it in the memory 200 . When it is determined that the measured value of the piezoelectric sensor 100 is equal to or less than the reference value, the data binarization unit 330 may convert the measured value of the piezoelectric sensor 100 to 0 and store it in the memory 200 . That is, if the reference value is a value set to determine the spread of the finger, the data binarization unit 330 sets the value of the piezoelectric sensor 100 to 1 when the finger is in the open state and 0 when the finger is in the bent state. can be converted and stored in the memory 200 .

The language element estimator 340 according to an embodiment of the present invention may determine which language element is matched by combining the measured values for each binarized piezoelectric sensor 100 . In this case, the language element may include an alphabet or a predetermined word. That is, the language element estimator 340 may estimate an alphabet or a predetermined word corresponding to a result of combining the measurement values of the piezoelectric sensor 100 determined to be 1 or 0 . For example, when the measured values of the piezoelectric sensor 100 for each of the total 10 fingers are determined to be 1 or 0, the language element estimating unit 340 sets the 10 digits in the order of the identification information of the piezoelectric sensor 100. A number can be derived as a combination of 1 and 0 The language element estimator 340 may estimate a word corresponding to ten finger movements by matching a word corresponding to a 10-digit number in a database.

8 is a table summarizing 31 characters represented by a combination of (a) a photo of a finger to which the piezoelectric sensor 100 is attached, and (b) 31 finger movements according to an embodiment of the present invention.

When the piezoelectric sensor 100 is attached to the thumb and index finger of the left hand and the thumb, index finger and middle finger of the right hand as shown in FIG. 8(a), as a combination of binary values for estimating language elements, 32 combinations are generated can be These 32 combinations are optimized combinations when the language element is an alphabet, and the 32 combinations of alphabets can be arranged in a matching table as shown in FIG. 8(b) . At this time, the state in which all fingers are not moved among 32 combinations is set as the default, and the remaining 31 combinations correspond to not only the alphabet but also symbols necessary for basic sentence construction such as commas, periods, exclamation points, question marks, and spaces. can be set.

On the other hand, in the case of the ring finger and the small finger due to the structure of the human body, it is difficult to independently perform bending or stretching motions compared to other fingers (i.e. thumb, index finger, and middle finger). In general, when the ring finger is bent, the middle finger and the ring finger are bent together with the ring finger, which is not easy for the user to control. That is, when a piezoelectric element is attached to the ring finger and the small finger to detect the movement of the ring finger and the small finger, an inaccurate measurement value is transmitted to the processor 300 differently from the user's intention, thereby causing a problem in which the language is translated. Therefore, when estimating the alphabet through the binarization technique based on the motion of the thumb, index finger, and middle finger excluding the middle and ring fingers as shown in FIG. 8, it is possible to accurately reflect the movement of the fingers to reduce the error in the estimation of the alphabet while communicating It is possible to prepare an alphabet-based sign language system without any problems.

9 is a picture of an operation of a system in which the text "THANK YOU!" is output (a) according to an embodiment of the present invention, and (b) a measurement of the piezoelectric sensor 100 for outputting the text "THANK YOU!" This is a table of values.

As shown in (a) of FIG. 9 , the user may complete the sentence "THANK YOU!" by controlling the bending or unfolding of the thumb and index finger of the left hand, and the thumb, index finger, and middle finger of the right hand. That is, based on the combination of the electric signal values generated by the piezoelectric sensor 100 attached to the finger described above, the processor 300 estimates alphabets such as T and H and punctuation marks such as ! You can print it out and provide it to users. Through the sentence output on the display, the user and the user's conversation partner can easily communicate.

Referring to (a) of FIG. 8 , the index finger of the left hand, the thumb, the thumb of the right hand, the index finger, and the middle finger can be sequentially divided into 1, 2, 3, 4, and 5 according to the identification information of the piezoelectric sensor 100 . have. Alphabet can be estimated based on the combination of the individual movements of the divided fingers. For example, when 1, 3, and 5 are unfolded (ie, the index finger of the left hand, the thumb and middle finger of the right hand are unfolded) as shown in (b) of FIG. 8 , the alphabet T is estimated by the processor 300 and may be output on a display. That is, referring to FIG. 9(b), when a movement of a finger divided into 1 to 5 occurs within a predetermined period, the alphabet based on the electrical signal value of the piezoelectric sensor 100 measured from the finger in which the movement occurred Alternatively, punctuation may be estimated and typed in sequence on the display of the computing device.

10 is a flowchart illustrating a language element estimation process of the processor 300 according to an embodiment of the present invention.

In step S10 , it may be determined whether the movement of the finger to which the piezoelectric sensor 100 is attached occurs. The movement of the finger refers to bending or spreading of the finger, and the movement of the finger may be individually determined for each finger. If it is determined that the movement of the finger has occurred, the piezoelectric sensor 100 may convert a mechanical force according to the movement of the finger into an electrical signal value and transmit it to the processor 300 .

In step S20 , the processor 300 may determine whether to convert a digital value for each measured value for each piezoelectric sensor 100 and optimize a threshold value (i.e. a reference value) for each of the piezoelectric sensors 100 . Threshold optimization refers to a process of determining a reference value for judgment reflecting the degree of movement of each finger of the user. If it is determined that the threshold value is not optimized, the processor 300 may optimize the threshold value through a process of cumulatively analyzing the measured values of the corresponding piezoelectric sensor 100 by a predetermined amount or more.

In S30, when it is determined that the threshold value for the piezoelectric sensor 100 is optimized, the processor 300 compares the measured value for each piezoelectric sensor 100 with the threshold value, and the measured value for each piezoelectric sensor 100 is the threshold. It can be determined whether the value is greater than or equal to the value.

In S40, the processor 300 sets the measured value for each piezoelectric sensor 100 to 1 when the measured value for each piezoelectric sensor 100 is equal to or greater than the threshold, and the piezoelectric sensor when the measured value for each piezoelectric sensor 100 is less than the threshold. (100) The measured value of stars can be converted to zero. That is, the processor 300 may binarize the measured value for each piezoelectric sensor 100 based on the comparison result with the threshold value.

In S50, the processor 300 may synthesize the binarized measurement values for each piezoelectric sensor 100 and match them with coded characters. That is, the processor 300 may determine a character corresponding to an alphabet, a word, etc. according to the entire movement of the fingers to which the piezoelectric sensor 100 is attached, and may provide it through a display such as a computing device or a wearable device.

11 is a flowchart of a motion communication method using the piezoelectric sensor 100 according to an embodiment of the present invention.

Referring to FIG. 11 , in the motion communication method according to an embodiment of the present invention, the piezoelectric sensor 100 attached to the user's finger generates an electrical signal value according to the movement of the finger (S100), the processor 300 ) comparing the measured value for each piezoelectric sensor 100 with a reference value (S200), the processor 300 binarizing the measured value based on the result of the comparison (S300), and the processor 300 binarizing the measured value It may include the step of estimating a language element matching the combination of (S400).

In the motion communication method according to an embodiment of the present invention, the processor 300 determines a reference value for each of the piezoelectric sensors 100 attached to the user's finger through analysis of the measured values for each piezoelectric sensor 100, The method may further include storing in the memory 200 (not shown).

In the step (S400) of estimating the language element according to an embodiment of the present invention, if the language element is an alphabet, the processor 300 is a piezoelectric sensor 100 attached to the thumb, index finger, and middle finger of the fingers of both hands of the user. Alphabet can be estimated according to the combination derived based on the measured value of .

Regarding the method according to an embodiment of the present invention, the contents of the above-described system may be applied. Accordingly, in relation to the method, descriptions of the same contents as those of the above-described system are omitted.

Meanwhile, according to an embodiment of the present invention, it is possible to provide a computer-readable recording medium in which a program for executing the above-described method is recorded in a computer. In other words, the above-described method can be written as a program that can be executed on a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable medium. In addition, the structure of the data used in the above-described method may be recorded in a computer-readable medium through various means. A recording medium for recording an executable computer program or code for performing various methods of the present invention should not be construed as including temporary objects such as carrier waves or signals. The computer-readable medium may include a storage medium such as a magnetic storage medium (eg, a ROM, a floppy disk, a hard disk, etc.) and an optically readable medium (eg, a CD-ROM, a DVD, etc.).

The above description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. .

100: piezoelectric sensor 110: electrode
120: nanofiber 130: adhesive layer
200: memory 300: processor
310: data acquisition unit 320: data analysis unit
330: data binarization unit 340: language element estimation unit

Claims (11)

In a motion communication system using a piezoelectric sensor,
a piezoelectric sensor attached to the user's finger and generating an electrical signal value according to the movement of the user's finger;
a memory for storing at least one instruction; and
at least one processor executing the at least one instruction stored in the memory;
The processor by executing the at least one instruction,
Comparing the measured value for each piezoelectric sensor with a reference value,
binarizing the measured value based on the result of the comparison;
and estimating a language element matching the combination of the binarized measurement values.
The method of claim 1,
The piezoelectric sensor is
A system comprising a plurality of electrodes and nanofibers disposed between the electrodes.
3. The method of claim 2,
The nanofiber is
A system characterized in that the fibers are annealed at a predetermined temperature, the thickness being 80 μm.
The method of claim 1,
The processor by executing the at least one instruction,
The system according to claim 1, wherein a reference value for each of the piezoelectric sensors attached to the user's finger is determined through analysis of the measured values for each piezoelectric sensor, and stored in the memory.
The method of claim 1,
In the language element,
A system characterized in that it contains an alphabet or a predetermined word.
6. The method of claim 5,
The processor by executing the at least one instruction,
When the language element is an alphabet, the alphabet is estimated according to a combination derived based on measurement values of piezoelectric sensors attached to thumb, index, and middle fingers among the fingers of both hands of the user.
In a motion communication method using a piezoelectric sensor,
generating, by a piezoelectric sensor attached to a user's finger, an electrical signal value according to the movement of the finger;
comparing, by the processor, the measured value for each piezoelectric sensor with a reference value;
binarizing, by the processor, the measurement value based on the result of the comparison; and
and estimating, by the processor, a language element that matches the combination of the binarized measurements.
8. The method of claim 7,
The method further comprising the step of determining, by the processor, a reference value for each of the piezoelectric sensors attached to the user's finger through analysis of the measured values for each of the piezoelectric sensors, and storing the reference values in a memory.
8. The method of claim 7,
In the language element,
A method, characterized in that the alphabet or predetermined words are included.
10. The method of claim 9,
In the step of estimating the language element,
When the language element is an alphabet, the processor estimates the alphabet according to a combination derived based on measurement values of piezoelectric sensors attached to thumb, index and middle fingers among fingers of both hands of the user.
A computer-readable recording medium in which a program for implementing the method of any one of claims 7 to 10 is recorded.

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